Usage

Arguments

dat

Input data: can be a table or a data frame (but the data frame must have only two columns).

k

Numeric specification of the number of latent axes to compute.

type

Character specification of the type of optimization: can in the current implementation be either "KL" for
the Kullback-Leibler divergence, "Frobenius" or "euclidean" (or abbreviations thereof) for the euclidean distance, or
"ALS" for alternating least squares.

tol

Numeric specification of the convergence criterion.

Value

A list with components:

pos1

The coordinates of the first set of levels (viz. the row levels of a frequency table).

pos2

The coordinates of the second set of levels (viz. the column levels of a frequency table).